Homecastr
Forecast US home values with uncertainty bands when validating proptech, investor tools, or pricing models tied to housing markets.
Overview
Homecastr is an MCP server for the Validate phase that returns US home price forecasts with P10/P50/P90 bands across 1–5 year horizons for addresses or neighborhoods.
What is this MCP server?
- Forecasts for any US address or neighborhood
- P10, P50, and P90 uncertainty bands
- Horizons from 1 through 5 years
- npm stdio package homecastr-mcp-server v1.0.0
- Local MCP server—no remote URL in published manifest
- Server version 1.0.0
- npm identifier homecastr-mcp-server
- stdio transport
What problem does it solve?
You are validating a housing-related offer but lack fast, uncertainty-aware price projections your agent can pull while iterating on pricing.
Who is it for?
Solo builders testing proptech, wealth, or rental products who need quick US forecast bands inside the agent dev loop.
Skip if: Non-US markets, regulated lending decisions, or teams that require certified appraisals instead of model-based scenarios.
What do I get? / Deliverables
Your agent returns banded multi-year home price forecasts you can plug into validation spreadsheets, prototypes, and investor narratives.
- Multi-horizon (1–5 year) home price forecast bands
- P10, P50, and P90 scenarios for validation and pricing math
- Agent-ready structured outputs for prototypes and decks
Recommended MCP Servers
Journey fit
Quantified value scenarios help prove whether a housing-related idea has credible economics before you ship a full product. P10/P50/P90 price paths over one- to five-year horizons support pricing, positioning, and ROI stories during validation.
How it compares
Home price forecast MCP via npm stdio, not a broad US attributes API like Analog or SEC filing access.
Common Questions / FAQ
Who is Homecastr for?
Developers and founders using MCP agents to validate US housing, investment, or pricing ideas with probabilistic home value forecasts.
When should I use Homecastr?
Use it during validation when you need P10/P50/P90 paths over one to five years for a specific address or neighborhood in demos or models.
How do I add Homecastr to my agent?
Install the npm package homecastr-mcp-server, configure stdio MCP in your client, and invoke forecast tools for your target US location.